{"id":966405,"url":"https://alion.io/job/caterpillar-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":176554,"name":"Caterpillar","domain":"caterpillar.com","url":"https://alion.io/company/caterpillar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":45,"ghost_share":0,"stale_share":0.711,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Digital Twin","optional":false},{"name":"LangChain","optional":false},{"name":"LLMOps","optional":false},{"name":"Synthetic Data","optional":false},{"name":"CI/CD","optional":true},{"name":"Quantization","optional":true},{"name":"RAPIDS","optional":true},{"name":"TensorRT","optional":true},{"name":"Triton Inference Server","optional":true}],"status":"live","first_seen_at":"2026-09-16T14:57:49Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-23T02:00:24Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"Career Area:\nTechnology, Digital and DataJob Description:\nYour Work Shapes the World at Caterpillar Inc.\nWhen you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.\nBuild the Digital Backbone of Modern Manufacturing\nWe’re assembling a dynamic team to develop and scale our Manufacturing & Supply Digital Platform-a next-generation software framework that transforms how manufacturing and supply operations connect, collaborate, and optimize.\nThis platform is not an ERP system. It’s a purpose-built digital layer that integrates data, processes, and resources across the entire manufacturing lifecycle-from design and engineering to production and distribution.\nThis initiative is powered by NVIDIA technologies, including the Omniverse platform and AI computing capabilities, enabling immersive digital twins, accelerated simulation, and intelligent automation. You’ll be part of a team that’s not just building software-but shaping the future of how manufacturing works through AI-driven, collaborative, and scalable digital solutions.\nAs part of this initiative, you’ll contribute to:\nSystem Integration: Seamlessly connecting diverse manufacturing and supply systems, data sources, and workflows into a unified digital ecosystem.\nData-Driven Decision Making: Harnessing real-time data collection, analysis, and visualization to deliver actionable insights and operational intelligence.\nAutomation & Optimization: Driving efficiency through intelligent scheduling, predictive maintenance, and quality control-without replacing core transactional systems.\nEnhanced Collaboration: Enabling transparent communication and coordination across teams, functions, and geographies.\nIf you're passionate about digital platforms, industrial innovation, and working with cutting-edge technologies-this is your opportunity to make a meaningful impact.\nKey Responsibilities:\nLead architectural design and development of generative/optimization models for process simulation, process scheduling, and predictive analytics in manufacturing.\nOrchestrate pipelines integrating synthetic data generation, model training, validation, and deployment.\nImplement advanced optimization: multi-objective, non-linear, evolutionary, and constraint-based approaches for process efficiency (e.g., scheduling, logistics, yield predictions).\nGuide the integration of embedded AI & Gen AI solutions with real-time industrial data streams, ensuring high-throughput, high-availability, and low-latency deployment.\nMentor teams in coding best practices, simulation-modelling, and deployment workflows using latest industrial AI stacks.\nRequired Skills:\nStrong experience with Generative AI models. Hands-on experience with Amazon bedrock and AWS AI-ML services\nProficiency in building and managing Agentic AI systems using frameworks like LangChain, AutoGen or similar.\nExpertise on cloud-native architecture, LLMOps and MLOps tools.\nFamiliarity with security, cost and governance best practices for Gen AI on cloud environments.\nNice to Have Skills:\nPrevious leadership in deploying ML pipelines and automation (CI/CD, containerization) at scale.\nKnowledge of quantization-aware training, model pruning, and NVIDIA-specific deployment tools (TensorRT, DeepStream SDK).\nWorking knowledge of OpenUSD scene graphs, data schemas, and extension development for Omniverse Kit/Composer.\nPublished research, open-source contributions, or patents in simulation-driven manufacturing AI or optimization.\nFamiliarity with NVIDIA’s AI stack- RAPIDS, Triton Inference Server, TensorRT, cuOpt (or similar)\nApplied industrial AI expertise: root-cause analysis, predictive maintenance, digital twin calibration.\nEducational Background: Typically requires a Bachelor’s degree, preferably in computer science, Artificial Intelligence, Data Science, mathematics, or a similar field with quantitative coursework, and 7-10 years of professional experience in associated field is required, a Master’s degree and 4-6 years of experience, or a PhD and 1-3 years of experience in relevant field.\nThis position requires working onsite five days a week.Visa Sponsorship is not available for this position.Posting Dates:\nSeptember 16, 2026 - October 1, 2026Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply\nNot ready to apply? 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